GAMs

Author: ericward-noaa

Lectures/Week 6/lec_11_intro_to_GAMs.Rmd

@@ -493,7 +493,7 @@ ggplot(aes(date, log(shad))) + geom_point() +
 
 * Use smooth to fill in the gaps
 * `cor(obs, pred)` ~ 0.86
-```{r}
+```{r echo=TRUE, eval=TRUE, fig.height=3, fig.width=6}
 fit <- gam(log(shad) ~ as.factor(year) + s(jday, bs = "cr"),
            data = shad22_24)
 ```

Lectures/Week 6/lec_11_intro_to_GAMs.html

@@ -493,7 +493,7 @@ ggplot(aes(date, log(shad))) + geom_point() +
 
 * Use smooth to fill in the gaps
 * `cor(obs, pred)` ~ 0.86
-```{r}
+```{r echo=TRUE, eval=TRUE, fig.height=3, fig.width=6}
 fit <- gam(log(shad) ~ as.factor(year) + s(jday, bs = "cr"),
            data = shad22_24)
 ```

docs/Lectures/Week 6/lec_11_intro_to_GAMs.Rmd

@@ -349,7 +349,7 @@ <h2>
 </center>
 <p><br></p>
 <center>
-<em>This site was last updated at 09:45 on 06 May 2025</em>
+<em>This site was last updated at 13:23 on 06 May 2025</em>
 </center>